joeguinness/GpGp: Fast Gaussian Process Computation Using Vecchia's Approximation
Version 0.1.0

Functions for reordering input locations, finding ordered nearest neighbors (with help from 'FNN' package), grouping operations, approximate likelihood evaluations, profile likelihoods, Gaussian process predictions, and conditional simulations. Covariance functions for spatial and spatial-temporal data on Euclidean domains and spheres are provided. The original approximation is due to Vecchia (1988) , and the reordering and grouping methods are from Guinness (2018) .

Getting started

Package details

MaintainerJoseph Guinness <[email protected]>
LicenseMIT + file LICENSE
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("joeguinness/GpGp")
joeguinness/GpGp documentation built on April 2, 2018, 7:30 p.m.